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diis.h
59
diis.h
@ -25,15 +25,15 @@ class DIIS
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public:
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DIIS(const int n, const bool core=1);
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~DIIS();
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Te extrapolate(T &vec); //vec is input/output; returns square residual norm
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typename LA_traits<T>::normtype extrapolate(T &vec); //vec is input/output; returns square residual norm
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};
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template<typename T>
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DIIS<T>::DIIS(const int n, const bool core) : dim(n), incore(core), bmat(n+1,n+1)
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DIIS<T>::DIIS(const int n, const bool core) : dim(n), incore(core), bmat(n,n)
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{
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st=incore?NULL: new AuxStorage<Te>;
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stor= incore? new T[dim] : NULL;
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bmat= (Te)0; for(int i=1; i<=n; ++i) bmat(0,i) = (Te)-1;
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bmat= (Te)0; for(int i=1; i<n; ++i) bmat(0,i) = (Te)-1;
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aktdim=cyclicshift=0;
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}
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@ -47,13 +47,13 @@ if(stor) delete[] stor;
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template<typename T>
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typename DIIS<T>::Te DIIS<T>::extrapolate(T &vec)
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typename LA_traits<T>::normtype DIIS<T>::extrapolate(T &vec)
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{
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//if dim exceeded, shift
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if(aktdim==dim)
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{
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cyclicshift=(cyclicshift+1)%dim;
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for(int i=1; i<dim; ++i)
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for(int i=1; i<dim-1; ++i)
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for(int j=1; j<=i; ++j)
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bmat(i,j)=bmat(i+1,j+1);
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}
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@ -62,48 +62,65 @@ else
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//store vector
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if(incore) stor[(aktdim-1+cyclicshift)%dim]=vec;
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else st.put(vec,(aktdim-1+cyclicshift)%dim);
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else st->put(vec,(aktdim-1+cyclicshift)%dim);
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//calculate overlaps
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bmat(aktdim,aktdim)= vec.dot(vec);
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if(incore)
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for(int i=1; i<aktdim; ++i) bmat(i,aktdim)=vec.dot(stor[(i-1+cyclicshift)%dim]);
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if(aktdim==1) return (typename LA_traits<T>::normtype)1000000000;
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//calculate difference;
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vec.copyonwrite();
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if(incore) vec -= stor[(aktdim-2+cyclicshift)%dim];
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else
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{
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T tmp=vec; //copy dimensions
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for(int i=1; i<aktdim; ++i)
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T tmp=vec;
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st->get(tmp,(aktdim-2+cyclicshift)%dim);
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vec -= tmp;
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}
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//calculate overlaps of differences (if storage is cheap, they could rather be stored than recomputed)
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typename LA_traits<T>::normtype norm=vec.norm();
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bmat(aktdim-1,aktdim-1)= norm*norm;
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if(incore)
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for(int i=1; i<aktdim-1; ++i)
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bmat(i,aktdim-1)=vec.dot(stor[(i+cyclicshift)%dim] - stor[(i-1+cyclicshift)%dim]);
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else
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{
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T tmp=vec;
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T tmp2=vec; //copy dimensions
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st->get(tmp2,(0+cyclicshift)%dim);
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for(int i=1; i<aktdim-1; ++i)
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{
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st.get(tmp,(i-1+cyclicshift)%dim);
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bmat(i,aktdim)=vec.dot(tmp);
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st->get(tmp,(i+cyclicshift)%dim);
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tmp2 -= tmp;
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bmat(i,aktdim-1)= -vec.dot(tmp2);
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tmp2=tmp;
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}
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}
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//prepare rhs-solution vector
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NRVec<Te> rhs(dim+1);
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NRVec<Te> rhs(dim);
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rhs= (Te)0; rhs[0]= (Te)-1;
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//solve for coefficients
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{
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NRSMat<Te> amat=bmat;
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linear_solve(amat,rhs,NULL,aktdim+1);
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linear_solve(amat,rhs,NULL,aktdim);
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}
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//build the new linear combination
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vec.copyonwrite();
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vec *= rhs[aktdim];
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vec = (Te)0;
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if(incore)
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for(int i=1; i<aktdim; ++i) vec.axpy(rhs[i],stor[(i-1+cyclicshift)%dim]);
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for(int i=1; i<aktdim; ++i) vec.axpy(rhs[i],stor[(i+cyclicshift)%dim]);
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else
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{
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T tmp=vec; //copy dimensions
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for(int i=1; i<aktdim; ++i)
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{
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st.get(tmp,(i-1+cyclicshift)%dim);
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st->get(tmp,(i+cyclicshift)%dim);
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vec.axpy(rhs[i],tmp);
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}
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}
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return rhs[0];
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return norm;
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}
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